基于一致性算法的储能单元分布式优化调度策略
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(1. 常州大学 机械与轨道交通学院,江苏 常州213164;2. 南京邮电大学 自动化学院,南京210023;3. 常州大学 商学院,江苏 常州213164)

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张晓花(1981),女,山西五台人,博士,副教授,研究方向为电力系统优化运行与控制;王晓亮(1993),男,安徽庐江人,硕士研究生,研究方向为电力系统经济运行。

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江苏省社会科学基金项目(18GLB016)


Distributed scheduling strategy of energy storage unit based on consensus algorithm
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(1. School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China;2. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;3. Business School, Changzhou University, Changzhou 213164, China)

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    摘要:

    随着新型储能技术的快速发展和产业化,集成海量储能单元,平抑可再生资源发电所引起的电网功率波动成为可能。但是大量储能单元分布分散,加之电池储能单元中内阻的存在会影响其存储效率,传统集中式调度难度很大。因此设计了一种基于多智能体一致性的考虑电池内阻的储能单元完全分布式优化调度策略。通过利用该完全分布式算法对储能单元进行实时功率分配来实现由风电并网引起的电网功率的平衡控制。通过仿真分析验证了分布式一致性算法的有效性和即插即用特性,对不同通信拓扑具有较好适用性。

    Abstract:

    With the rapid development and industrialization of the new energy storage technology, smoothing the fluctuations of nenewable power output by integrated mass storage unit becomes possible. Because of the allocation and internal resistance of battery energy storage system, a fully distributed optimization scheduling strategy based on multi-agent consensus algorithm which considered the internal resistance of the battery energy storage unit has been designed. By using a fully distributed algorithm, the power balance control of the power grid is realized by the real-time power allocation of the energy storage unit. The verification of each distributed strategy is realized through simulation analysis. The effectiveness and plug-and - play characteristic of the distributed consensus algorithm are verified by simulation results. The distributed consensus algorithm has good applicability for different communication topology.

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引用本文

张晓花,王晓亮,廖重阳,朱陈松,李瀚,刘应,谈天.基于一致性算法的储能单元分布式优化调度策略[J].电力需求侧管理,2021,23(3):41-46

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  • 收稿日期:2021-02-25
  • 最后修改日期:2021-03-24
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  • 在线发布日期: 2021-05-24
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